Edge computing storage nodes based on location and activities for user data separate from cloud computing environments

A method comprising:

• detecting, by a service provider system, a user within a geofenced proximity associated with a merchant location;
• determining services provided by a merchant device to users at the merchant location using data associated with the users;
• determining an edge computing system, independent from the merchant device, having an edge computing storage node corresponding to a geographic area including the merchant location, wherein the edge computing storage node comprises a cloud computing node for a cloud computing service on a network separate from the merchant device, and wherein a central storage utilized by the user for the cloud computing service on the network is separate from the edge computing storage node;
• determining a user profile for the user with the service provider system;
• identifying one or more activities previously performed by the user within the geofenced proximity;
• determining, using a machine learning (ML) model associated with the merchant location based on the user profile and the one or more activities, a data storage action between the edge computing storage node and the central storage, wherein the data storage action moves at least a portion of the data from the edge computing storage node to the central storage or moves at least a portion of the data from the central storage to the edge computing storage node;
• and
• executing the data storage action between the edge computing storage node and the central storage.

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

• detecting, by a service provider system, a user within a geofenced proximity associated with a merchant location;
• determining that a merchant device at the merchant location provides services to users at the merchant location using data associated with the users;
• determining an edge computing system that does not include the merchant device, wherein the edge computing system includes an edge computing storage node providing data storage services for a geographic area including the merchant location, wherein the edge computing storage node comprises a cloud computing node for a cloud computing service on a network is-separate from the merchant device, and wherein the edge computing includes a central storage utilized by the user for the cloud computing service on the network independent from the cloud computing storage node;
• determining a user profile for the user with the service provider system;
• identifying one or more activities previously performed by the user within the geofenced proximity;
• determining, using a machine learning (ML) model associated with the merchant location based on the user profile and the one or more activities, a data storage action between the edge computing storage node and the central storage, wherein the data storage action moves at least a portion of the data from the edge computing storage node to the central storage or moves at least a portion of the data from the central storage to the edge computing storage node;
• and
• executing the data storage action between the edge computing storage node and the central storage.